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Mojtaba Esfandiari

5 accepted papers

2026

Motion Compensation and Adaptive Force Control Via iOCT–FBG Sensor Fusion for Robotic Subretinal Injection

ICRA 2026poster

Subretinal injection is a highly delicate procedure that demands micron-level precision to avoid irreversible retinal damage. Current robotic systems achieve accurate positioning but remain limited by retinal motion and the lack of tip-force feedback. We present the first adaptive tip-force compensa…

Cited by 0Scholar
2025

A Deep Learning-Driven Autonomous System for Retinal Vein Cannulation: Validation Using a Chicken Embryo Model

IROS 2025

Retinal vein cannulation (RVC) is a minimally invasive microsurgical procedure for treating retinal vein occlusion (RVO), a leading cause of vision impairment. However, the small size and fragility of retinal veins, coupled with the need for high-precision, tremor-free needle manipulation, create si

Cited by 0SourceScholar
2025

Real-Time Deformation-Aware Control for Autonomous Robotic Subretinal Injection Under iOCT Guidance

ICRA 2025

Robotic platforms provide consistent and precise tool positioning that significantly enhances retinal microsurgery. Integrating such systems with intraoperative optical coherence tomography (iOCT) enables image-guided robotic interventions, allowing autonomous performance of advanced treatments, suc

Cited by 10SourceScholar
2024

Cooperative vs. Teleoperation Control of the Steady Hand Eye Robot with Adaptive Sclera Force Control: A Comparative Study

ICRA 2024poster

A surgeon’s physiological hand tremor can significantly impact the outcome of delicate and precise retinal surgery, such as retinal vein cannulation (RVC) and epiretinal membrane peeling. Robot-assisted eye surgery technology provides ophthalmologists with advanced capabilities such as hand tremor c…

Cited by 5SourceScholar
2021

EMG-Based Neural Network Model of Human Arm Dynamics in a Haptic Training Simulator of Sinus Endoscopy

ICRA 2021poster

This paper proposes an EMG-dependant neural network-based model of human forearm during interaction with a haptic training simulator of sinus endoscopy. We used a conventional lumped mass-spring-damper model as a base model, beside which we took effects of muscle activation level, using surface elec…

Cited by 7SourceScholar